Evidence map›Paper›PMID 34862921›Full record

ArticleSkeletal radiology2022

Computed tomography-based body composition profile as a screening tool for geriatric frailty detection.

Olga Laur, Michael J Weaver, Christopher Bridge, Erika Chow, Michael Rosenthal, Camden Bay, Houman Javedan, Mitchel B Harris, Bharti Khurana

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Skeletal radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06507046 (Robotic Assisted Surgery Comparing Personalized Alignment Versus Mechanical Alignment of Total Knee Arthroplasty - A Randomized Controlled Trial), which is not on this map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06507046 narecruitingnot on this mapstarted 2024, after this paper: background citation

Robotic Assisted Surgery Comparing Personalized Alignment Versus Mechanical Alignment of Total Knee Arthroplasty - A Randomized Controlled Trial

TypeinterventionalSponsorHelse Møre og Romsdal HFRan2024 to 2035Enrolled152ConditionsKnee OsteoarthritisArmsTotal knee replacement
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Olga LaurDepartment of Radiology, New York Presbyterian Hospital, Weill Cornell Medicine, 525 East 68(th) Street, New York, NY, 10065, USA. olgaolaur@gmail.com.ORCID http://orcid.org/0000-0003-4936-430X
Michael J WeaverDepartment of Orthopedic Surgery, Brigham and Women's Hospital, Boston, MA, USA.
Christopher BridgeMGH & BWH Center for Clinical Data Science, Boston, MA, USA.
Erika ChowDepartment of Radiology, Division of Emergency Radiology, Brigham and Women's Hospital, Boston, MA, USA.
Michael RosenthalDepartment of Radiology, Dana Farber Cancer Institute, Boston, MA, USA.
Camden BayDepartment of Radiology, Division of Emergency Radiology, Brigham and Women's Hospital, Boston, MA, USA.
Houman JavedanDivision of Aging, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Mitchel B HarrisDepartment of Orthopedics, Massachusetts General Hospital, Boston, MA, USA.
Bharti KhuranaDepartment of Radiology, Division of Emergency Radiology, Brigham and Women's Hospital, Boston, MA, USA.
Brigham and Women's Hospital · USDana-Farber Cancer Institute · USMassachusetts General Hospital · USNewYork–Presbyterian Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess prevalence of CT imaging-derived sarcopenia, osteoporosis, and visceral obesity in clinically frail and prefrail patients and determine their association with the diagnosis of frailty. MATERIALS AND

methodsThis cross-sectional study was constructed using our institution's pelvic trauma registry and ambulatory database registry. The study included all elderly pelvic trauma patients and ambulatory outpatients between May 2016 and March 2020 who had a comprehensive geriatric assessment and CT abdomen/pelvis within 1 year from the date of the assessment. Patients were dichotomized in prefrail or frail groups. The study excluded patients with history of metastatic disease or malignancy requiring chemotherapy.

resultsThe study cohort consisted of 151 elderly female and 65 male patients. Each gender population was subdivided into frail (114 female [75%], 51 male [78%]) and prefrail (37 female [25%], 14 male [22%]) patients. CT-imaging-derived diagnosis of osteoporosis (odds ratio, 2.5; 95% CI: 1.2-5.5) and sarcopenia (odds ratio, 2.6; 95% CI: 1.2-5.6) were associated with frailty in females, but did not reach statistical significance in males. BMI and subcutaneous adipose tissue at L3 level were statistically lower in the frail male group compared to the prefrail group. BMI showed strong correlation with the subcutaneous area at the L3 level in both genders (Spearman's coefficient of 0.8, p < 0.001). Hypoalbuminemia and visceral obesity were not associated with frailty in either gender.

conclusionThis proof-of-concept study demonstrates the feasibility of using CT-derived body-composition parameters as a screening tool for frailty, which can offer an opportunity for early medical intervention.

Indexed as

FrailtyOsteoporosisSarcopeniaAgedBody CompositionCross-Sectional StudiesFemaleFrail ElderlyHumansMaleObesity, AbdominalTomography, X-Ray ComputedBody compositionFrailtyMachine learning

Identifiers

PMID34862921
PMCPMC8642750
OpenAlexW3217120353

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.